Update Linux docker images #23244
Merged
Update Linux docker images #23244
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
snnn
changed the title
|
@tianleiwu , there is a strange error from CUDNN frontend , which was caused by upgrading CUDNN from 9.5 to 9.6. Could you please help me take a look? |
Tried upgrade both cudnn-frontend and cudnn, and submitted a test build: https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=1579205&view=results Worst case is that we may add an fallback to cudnn backend directly as before for the case that cannot be handled by cudnn frontend. |
|
The error was: [E:onnxruntime:yolov3, sequential_executor.cc:505 ExecuteKernel] Non-zero status code returned while running Conv node. Name:'conv2d_2_0' Status Message: Failed to initialize CUDNN Frontend/onnxruntime_src/onnxruntime/core/providers/cuda/cudnn_fe_call.cc:99 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, SUCCTYPE, const char*, const char*, int) [with ERRTYPE = cudnn_frontend::error_object; bool THRW = true; SUCCTYPE = cudnn_frontend::error_code_t; std::conditional_t<THRW, void, common::Status> = void] /onnxruntime_src/onnxruntime/core/providers/cuda/cudnn_fe_call.cc:91 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, SUCCTYPE, const char*, const char*, int) [with ERRTYPE = cudnn_frontend::error_object; bool THRW = true; SUCCTYPE = cudnn_frontend::error_code_t; std::conditional_t<THRW, void, common::Status> = void] CUDNN_FE failure 8: HEURISTIC_QUERY_FAILED ; GPU=0 ; hostname=98d137446008 ; file=/onnxruntime_src/onnxruntime/core/providers/cuda/nn/conv.cc ; line=225 ; expr=s_.cudnn_fe_graph->create_execution_plans({heur_mode}); |
@gedoensmax, @JTischbein, is it a known issue that cudnn 9.6 has regression of support convolution for yolo v3? Here is cudnn 9.6 debug log: |
snnn
force-pushed
the
snnn/update_docker_images
branch
from
c9c52e1 to
5944339
Compare
snnn
changed the title
|
I downgraded the CUDA 12 image's CUDNN version back to 9.5, then the test passed. It means we cannot use same the same cudnn version for both CUDA 11 and 12. But, that's ok. |
snnn
force-pushed
the
snnn/update_docker_images
branch
from
69ddb90 to
494982c
Compare
tianleiwu
reviewed
Jan 9, 2025
tianleiwu
approved these changes
Jan 9, 2025
guschmue
pushed a commit
that referenced
this pull request
Jan 12, 2025
The new images contain the following updates: 1. Added Git, Ninja and VCPKG to all docker images 2. Updated CPU containers' GCC version from 12 to 14 3. Pinned CUDA 12 images' CUDNN version to 9.5(The latest one is 9.6) 4. Addressed container supply chain warnings by building CUDA 12 images from scratch(avoid using Nvidia's prebuilt images) 5. Updated manylinux commit id to 75aeda9d18eafb323b00620537c8b4097d4bef48 Also, this PR updated some source code to make the CPU EP's source code compatible with GCC 14.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
The new images contain the following updates:
Also, this PR updated some source code to make the CPU EP's source code compatible with GCC 14.